23 часа назад
Senior Analyst, Business Intelligence
95 000 - 115 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Analyst, Business Intelligence (SQL/Python): Building scalable data models, automated data tests, reporting solutions, and dashboards that help media teams and clients plan and optimize campaigns with an accent on data accessibility, automation, and data quality. Focus on integrating disparate data sources, developing cloud data warehouse solutions, and educating business stakeholders on data products.
Location: New York, New York; hybrid work arrangement. Preference for working East Coast hours.
Salary: $95,000–$115,000 per year.
Company
Horizon Next is a data-driven marketing organization providing brand strategy, media planning and investment, and analytics across channels.
What you will do
- Lead data modeling and reporting for individual clients to support media campaign planning and optimization.
- Partner on cross-client data modeling and reporting initiatives that improve access to data for technical and non-technical stakeholders.
- Combine disparate data sources into reusable data models and collaborate with Data Engineering on warehouse integrations.
- Create and maintain automated data tests, prototypes, data products, visualizations, and dashboards.
- Educate internal teams and clients on data products, reporting availability, and data-informed decision-making.
- Define meaningful KPIs for client media campaigns and mentor teammates through knowledge sharing.
Requirements
- Undergraduate degree in Mathematics, Statistics, or comparable experience.
- 2–4 years of experience in analytics, business intelligence, or a similar field.
- 2–3 years of experience in media, advertising, or a similar industry.
- 2–3 years of professional SQL experience and 1–2 years of professional Python or similar programming experience.
- 1–2 years of experience with a cloud data warehouse such as Amazon Redshift, Google BigQuery, or Snowflake.
- Experience working effectively with both business and engineering teams, including process automation and tooling.
Nice to have
- Experience with Git or a similar version control system.
- Experience with Presto, Hive, or Spark SQL.
- Experience with Tableau, Looker, or Domo.
- Experience with dbt.
Culture & Benefits
- Inclusive workplace focused on diverse perspectives and employee empowerment.
- Health, life, disability, and pet insurance options.
- Retirement savings plans, company-paid holidays, and unlimited paid time off.
- Mental health and wellness resources, childcare resources, fertility assistance, identity theft insurance, and fitness reimbursement.
- Discretionary bonus and competency-based hiring approach.
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